GESIS offers information and consulting regarding the measurement of sociostructural (so-called "background") variables in population surveys. This includes consulting about questionnaire instruments, coding and harmonisation across samples or studies, for example for the purpose of cross-national comparison. There are several contributions to the GESIS Survey Guidelines on sociodemographic characteristics.
Core areas of our expertise are for example in:
GESIS represents the German Consortium of Social Science Institutes (Arbeitsgemeinschaft Sozialwissenschaftlicher Institute e. V., ASI) in the German working group "Standard Demography". The "Standard Demography" aims at standardised measurement of socio-structural variables across population and household surveys in Germany, to permit a larger degree of comparability across individual studies. The 6th edition (2016, in German only) was completely revised and adapted to current societal circumstances. As its predecessors, this edition presents joint recommendations by the Working Party of German Market and Social Research Institutes (ADM Arbeitskreis Deutscher Markt- und Sozialforschungsinstitute e. V.), the ASI and the Federal Statistical Office. Further details are available on the German version of this page, and in this contribution to the GESIS Survey Guidelines.
To capture the highest education qualification in computer-assisted cross-cultural surveys, an innovative survey instrument has been developed in the “Computer-assisted measurement and coding of education in surveys” (CAMCES) project. With the CAMCES tool, surveys can provide a detailed measurement of the education qualifications in different countries and easily code them according to the International Standard Classification of Education (ISCED).
Currently, the project is continued within the EU-Horizon 2020 project SERISS and the resulting tools can be found at www.surveycodings.org/education. There you will also fine a live database search, via which individual educational qualifications from a wide range of countries can be searched together with their classification information, e.g. for ex-post coding of open text responses in surveys.
Measurement of social class and social status in surveys: